A new architecture of deep neural networks, directed acyclic graph convolutional neural networks (DAG-CNNs), is used to classify heartbeats from electrocardiogram (ECG) signals into different subject-based classes.DAG-CNNs not only fuse the feature extraction and classification stages of the ECG classification into a single automated learning proce
Objectives: Major depressive disorder (MDD) is a serious mental disorder, and there is a great difficulty to diagnose and treat.Hitherto, relatively few studies have explored the correlation between the levels of plasma cell adhesion molecules 15-eg2373cl and MDD.Methods: Thirty outpatients with acute episodes of MDD in Shanghai Mental Health Cente
The interaction history between users and items is usually stored and displayed in the form of bipartite graphs.Neural network recommendation based on the user-item bipartite graph has a significant effect on alleviating the long-standing data sparseness and cold start of the recommendation system.The whole paper is based on the bipartite graph.An
Self-regulated learning (SRL) plays a critical role in asynchronous online courses.In recent years, attention has been focused on identifying student subgroups with different patterns of online SRL behaviors and comparing their learning performance.However, there is limited research leveraging traces of SRL behaviors to detect student subgroups and
Neurophysiological characteristics of chronic headaches in patientswith arterial hypertension were studied using brainstem auditoryevoked potentials, visual evoked potentials sophie allport zebra and blink reflex.Inpatients with arterial hypertension suffering from chronicheadaches, signs of brainstem dysfunction were revealed, which wasaccompanied